Fantasy-Shaw / H-STFormer
Code of H-STFormer with PyTorch2.0.
☆11Updated last year
Alternatives and similar repositories for H-STFormer:
Users that are interested in H-STFormer are comparing it to the libraries listed below
- [AAAI2023] A PyTorch implementation of PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction.☆238Updated last year
- [CIKM'23] Official code for our paper "Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting".☆171Updated last year
- ☆26Updated last year
- ☆64Updated 3 years ago
- DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting, which is accepted at ICML2022.☆162Updated 2 years ago
- [ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks☆88Updated last month
- ☆77Updated last year
- This is a Pytorch implementation of Traffic Transformer. Now the corresponding paper is available online at☆25Updated 2 years ago
- ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction☆176Updated 4 months ago
- [SIGKDD'2025] Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective☆36Updated 4 months ago
- This is a Pytorch implementation of ASTGNN. Now the corresponding paper is available online at https://ieeexplore.ieee.org/document/93460…☆216Updated 3 years ago
- Spatial–Temporal Dynamic Graph Convolutional Network With Interactive Learning for Traffic Forecasting☆61Updated 5 months ago
- ☆21Updated 10 months ago
- Code of “STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction”.☆69Updated 9 months ago
- [IJCAI-24] Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting☆189Updated 3 weeks ago
- [Pattern Recognition] Decomposition Dynamic Graph Conolutional Recurrent Network for Traffic Forecasting☆81Updated 4 months ago
- [Neural Networks] PDG2Seq: Periodic Dynamic Graph to Sequence model for Traffic Flow Prediction☆13Updated last month
- [Neural Networks] RGDAN: A random graph diffusion attention network for traffic prediction☆33Updated 4 months ago
- PyTorch implementation of AirFormer, AAAI-23☆134Updated 2 years ago
- LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting (NeurIPS 2023)☆202Updated last year
- An efficient spatial-temporal transformer with temporal aggregation and spatial memory for traffic forecasting☆22Updated last year
- Code for our CIKM'22 paper Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting.☆281Updated last month
- Code of STFGNN@AAAI-2021 (Spatial-Temporal/ Traffic data forecasting)☆219Updated 4 years ago
- [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"☆115Updated last year
- The pytorch code of DGCN(TITS)☆54Updated 2 years ago
- Spatio-Temporal Prediction Paper List☆192Updated last week
- Implementation of Graph Muti-Attention Network with PyTorch☆159Updated last year
- ☆43Updated 2 years ago
- My personal PyTorch framework for multivariate time series forecasting.☆90Updated 2 months ago
- Official implementation of the paper "Spatial-Temporal Large Language Model for Traffic Prediction"☆85Updated 2 months ago